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      WHO Mental Health Gap Action Programme (mhGAP) Intervention Guide: a systematic review of evidence from low and middle-income countries

      , , ,
      Evidence Based Mental Health
      BMJ

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          Abstract

          Question

          Despite mental, neurological and substance use (MNS) disorders being highly prevalent, there is a worldwide gap between service need and provision. WHO launched its Mental Health Gap Action Programme (mhGAP) in 2008, and the Intervention Guide (mhGAP-IG) in 2010. mhGAP-IG provides evidence-based guidance and tools for assessment and integrated management of priority MNS disorders in low and middle-income countries (LMICs), using clinical decision-making protocols. It targets a non-specialised primary healthcare audience, but has also been used by ministries, non-governmental organisations and academics, for mental health service scale-up in 90 countries. This review aimed to identify evidence to date for mhGAP-IG implementation in LMICs.

          Study selection and analysis

          We searched MEDLINE, Embase, PsycINFO, Web of Knowledge/Web of Science, Scopus, CINAHL, LILACS, SciELO/Web of Science, Cochrane, Pubmed databases and Google Scholar for studies reporting evidence, experience or evaluation of mhGAP-IG in LMICs, in any language. Data were extracted from included papers, but heterogeneity prevented meta-analysis.

          Findings

          We conducted a systematic review of evidence to date, of mhGAP-IG implementation and evaluation in LMICs. Thirty-three included studies reported 15 training courses, 9 clinical implementations, 3 country contextualisations, 3 economic models, 2 uses as control interventions and 1 use to develop a rating scale. Our review identified the importance of detailed reports of contextual challenges in the field, alongside detailed protocols, qualitative studies and randomised controlled trials.

          Conclusions

          The mhGAP-IG literature is substantial, relative to other published evaluations of clinical practice guidelines: an important contribution to a neglected field.

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          Most cited references29

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          Is Open Access

          Therapist competence in global mental health: Development of the ENhancing Assessment of Common Therapeutic factors (ENACT) rating scale.

          Lack of reliable and valid measures of therapist competence is a barrier to dissemination and implementation of psychological treatments in global mental health. We developed the ENhancing Assessment of Common Therapeutic factors (ENACT) rating scale for training and supervision across settings varied by culture and access to mental health resources. We employed a four-step process in Nepal: (1) Item generation: We extracted 1081 items (grouped into 104 domains) from 56 existing tools; role-plays with Nepali therapists generated 11 additional domains. (2) Item relevance: From the 115 domains, Nepali therapists selected 49 domains of therapeutic importance and high comprehensibility. (3) Item utility: We piloted the ENACT scale through rating role-play videotapes, patient session transcripts, and live observations of primary care workers in trainings for psychological treatments and the Mental Health Gap Action Programme (mhGAP). (4) Inter-rater reliability was acceptable for experts (intraclass correlation coefficient, ICC(2,7) = 0.88 (95% confidence interval (CI) 0.81-0.93), N = 7) and non-specialists (ICC(1,3) = 0.67 (95% CI 0.60-0.73), N = 34). In sum, the ENACT scale is an 18-item assessment for common factors in psychological treatments, including task-sharing initiatives with non-specialists across cultural settings. Further research is needed to evaluate applications for therapy quality and association with patient outcomes.
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            Integrating mental health into primary care in Nigeria: report of a demonstration project using the mental health gap action programme intervention guide

            Background The World Mental Health Surveys conducted by the World Health Organization (WHO) have shown that huge treatment gaps for severe mental disorders exist in both developed and developing countries. This gap is greatest in low and middle income countries (LMICs). Efforts to scale up mental health services in LMICs have to contend with the paucity of mental health professionals and health facilities providing specialist services for mental, neurological and substance use (MNS) disorders. A pragmatic solution is to improve access to care through the facilities that exist closest to the community, via a task-shifting strategy. This study describes a pilot implementation program to integrate mental health services into primary health care in Nigeria. Methods The program was implemented over 18 months in 8 selected local government areas (LGAs) in Osun state of Nigeria, using the WHO Mental Health Gap Action Programme Intervention Guide (mhGAP-IG), which had been contextualized for the local setting. A well supervised cascade training model was utilized, with Master Trainers providing training for the Facilitators, who in turn conducted several rounds of training for front-line primary health care workers. The first set of trainings by the Facilitators was supervised and mentored by the Master Trainers and refresher trainings were provided after 9 months. Results A total of 198 primary care workers, from 68 primary care clinics, drawn from 8 LGAs with a combined population of 966,714 were trained in the detection and management of four MNS conditions: moderate to severe major depression, psychosis, epilepsy, and alcohol use disorders, using the mhGAP-IG. Following training, there was a marked improvement in the knowledge and skills of the health workers and there was also a significant increase in the numbers of persons identified and treated for MNS disorders, and in the number of referrals. Even though substantial retention of gained knowledge was observed nine months after the initial training, some level of decay had occurred supporting the need for a refresher training. Conclusion It is feasible to scale up mental health services in primary care settings in Nigeria, using the mhGAP-IG and a well-supervised cascade-training model. This format of training is pragmatic, cost-effective and holds promise, especially in settings where there are few specialists. Electronic supplementary material The online version of this article (doi:10.1186/s12913-015-0911-3) contains supplementary material, which is available to authorized users.
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              Development and pilot testing of a mental healthcare plan in Nepal

              Background Mental health service delivery models that are grounded in the local context are needed to address the substantial treatment gap in low- and middle-income countries. Aims To present the development, and content, of a mental healthcare plan (MHCP) in Nepal and assess initial feasibility. Method A mixed methods formative study was conducted. Routine monitoring and evaluation data, including client flow and reports of satisfaction, were obtained from patients (n = 135) during the pilot-testing phase in two health facilities. Results The resulting MHCP consists of 12 packages, divided over community, health facility and organisation platforms. Service implementation data support the real-life applicability of the MHCP, with reasonable treatment uptake. Key barriers were identified and addressed, namely dissatisfaction with privacy, perceived burden among health workers and high drop-out rates. Conclusions The MHCP follows a collaborative care model encompassing community and primary healthcare interventions.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Evidence Based Mental Health
                Evid Based Mental Health
                BMJ
                1362-0347
                1468-960X
                January 23 2018
                February 2018
                February 2018
                September 13 2017
                : 21
                : 1
                : 30-34
                Article
                10.1136/eb-2017-102750
                28903977
                d3a63d58-998f-4e64-acc8-5046efbe0c38
                © 2017
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